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- Title
PHYTOSOCIOLOGIAL STUDY OF RABOR REGION, KERMAN, IRAN.
- Authors
NOSRATI, Houshang; MIRTAJEDDINI, Saidmansor; JAHANSHAHI, Mahmoudreza; HAGHIGHI, Ahmad Razban
- Abstract
The patterns of plant associations are correlated with environmental factors. Therefore, information on association between vegetation and ecological factors is important for understanding the stability and dynamics of plant communities. This work studied phytosociology of Rober (Kerman, Iran) by analyzing the associations between vegetation and environmental factors based on Braun Blanquet method using 25 randomly sampled relevés (plots or quadrats) and determining growth form based on Raunkiaer. The relevé size was determined using Minimal Area method. For vegetation data, species richness and evenness, and percentage plant surface covers were recorded within the relevés. For environmental data, different edaphic and topographic information e.g. soil moisture, pH, electrical conductivity, slope degree and direction and altitude were measured for the relevés. Similarity among relevés was estimated using cluster analyzing based on Ward' coefficient. Canonical Corresponding Analysis (CCA) was used to study the relationship between relevés and environmental factors and to determine the most important environmental factors affecting the relevés distribution. A total of 34 species was identified. The species number per relevé varied from 23 to 29 with average of 25.2. Analyzing of species diversity among therelevés using diversity indices of Simpson, Shannon-H, Menhinick and Margalef showed that three relevés with 23 species and only one out of 8 relevés with 24 species had smallest species diversity, while relevé with 29 species had highest diversity level. Cluster analysis showed the study site composed of three sub-associations. CCA indicated that different edaphic and topographic variables affected differently on the distribution of the relevés.
- Subjects
PLANT communities; ENVIRONMENTAL impact analysis; HYDROGEN-ion concentration; ELECTRIC conductivity; PLANT diversity
- Publication
Agriculture & Forestry / Poljoprivreda i šumarstv, 2017, Vol 63, Issue 2, p49
- ISSN
0554-5579
- Publication type
Article
- DOI
10.17707/AgricultForest.63.2.04